One strategy for facilitating reading comprehension is to present information in a question-and-answer format. We demo a system that integrates the tasks of question answering (QA) and question generation (QG) in order to produce Q&A items that convey the content of multi-paragraph documents. We report some experiments for QA and QG that yield improvements on both tasks, and assess how they interact to produce a list of Q&A items for a text. The demo is accessible at qna.sdl.com.
@article{arxiv.2103.03820,
title = {AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents},
author = {Melissa Roemmele and Deep Sidhpura and Steve DeNeefe and Ling Tsou},
journal= {arXiv preprint arXiv:2103.03820},
year = {2021}
}